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What is Smart Grid Load Forecasting Method about?
This study introduces a novel recurrent linear regression method (R-LR) for forecasting short-term electricity load in buildings connected to the smart grid, which allows for bi-directional energy flow. The R-LR method was validated using the Sundance dataset and demonstrated lower error rates compared to traditional linear regression and extreme learning machine methods. The findings indicate that R-LR is more effective for modeling dynamic systems and improving forecasting accuracy in smart grid environme
- Author
- jagram.elect24
- Language
- EN